Tracka
For Insurance Providers

Data-Driven SCD Risk Modeling for Smarter Underwriting

Replace guesswork with actual population health data. Understand crisis frequency, hospitalization patterns, and treatment costs across genotypes and geographies.

The Challenge

Problems You Face Every Day

Traditional approaches to sickle cell tracking leave critical gaps that cost lives and waste resources.

Unpredictable Claims

Sickle cell crisis events drive high-cost emergency visits and hospitalizations, but without historical data, actuaries cannot model these costs accurately.

Genotype Blind Spots

Not all SCD genotypes carry the same risk profile. Without genotype-stratified data, pricing models lump HbSS and HbSC patients together despite very different outcomes.

Regional Variation Unknown

SCD prevalence and crisis frequency vary dramatically by region, but insurers lack the geographic granularity to price policies accurately across Nigeria.

The Solution

How Tracka Transforms Your Workflow

Purpose-built for sickle cell disease management with the tools your team actually needs.

Crisis Frequency Data

Access anonymized data on vaso-occlusive crisis frequency, severity, duration, and outcomes — the primary cost driver for SCD patients.

Risk Modeling Datasets

Download structured datasets for actuarial analysis. Includes hospitalization rates, ER visits, transfusion frequency, and medication costs by genotype.

Geographic Risk Profiles

View SCD burden by state, LGA, and ward. Price policies accurately based on regional prevalence, healthcare access, and crisis patterns.

Genotype Stratification

Separate risk profiles for all 9 genotypes. HbSS patients average 3x more crises than HbSC — your pricing should reflect this.

Cost Trend Analysis

Track how treatment costs evolve over time. Monitor the impact of hydroxyurea adoption on reducing crisis frequency and hospitalization costs.

Population Health Snapshots

Access aggregated population health metrics including age distribution, complication rates, and survival curves for SCD populations.

Feature Highlights

Everything You Need, Nothing You Don't

  • Anonymized crisis frequency data with severity scoring and hospitalization correlations
  • Genotype-stratified actuarial datasets covering all 9 tracked hemoglobin genotypes
  • Geographic risk profiles at state, LGA, and ward levels for regional pricing accuracy
  • Hospitalization rate and length-of-stay data for SCD-related admissions
  • Hydroxyurea adoption rates and their correlation with reduced crisis frequency
  • Transfusion frequency and cost data segmented by genotype and age group
  • API access for integrating SCD risk data directly into underwriting platforms
  • All data fully anonymized to clinical-grade standards — compliant with NDPR and international privacy standards
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Crisis Events Analyzed

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Genotypes Profiled

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States with Data

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Data Points Available

Ready to Transform Your SCD Program?

Join hundreds of organizations already using Tracka to improve patient outcomes across Africa.